Speech production under uncertainty: how do job
applicants experience and communicate with an AI
interviewer?

Speech production under uncertainty: how do job
applicants experience and communicate with an AI
interviewer?

AI decision-making, job interview, uncertainty, social presence, speech production

Theories and research in human–machine communication (HMC) suggest that machines, when replacing humans as communication partners,
change the processes and outcomes of communication. With artificial intelligence (AI) increasingly used to interview and evaluate job applicants,
employers should consider the effects of AI on applicants’ psychology and performance during AI-based interviews. This study examined job
applicants’ experience and speech fluency when evaluated by AI. In a three-condition between-subjects experiment (N 1⁄4 134), college students
had an online mock job interview under the impression that their performance would be evaluated by a human recruiter, an AI system, or an
AI system with a humanlike interface. Participants reported higher uncertainty and lower social presence and had a higher articulation rate in
the AI-evaluation condition than in the human-evaluation condition. Through lowering social presence, AI evaluation increased speech rate and
reduced silent pauses. Findings inform theories of HMC and practices of automated recruitment and professional training.

Bingjie Liu 1,*, Lewen Wei 2

, Mu Wu 1

, Tianyi Luo3

https://doi.org/10.1093/jcmc/zmad028

18 May 2023

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